An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph

6 August 2022

Papers citing "An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph"

4 / 4 papers shown

Title
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations David Tschirschwitz Volker Rodehorst 26 1 0 14 Sep 2024
Evaluating the impact of an explainable machine learning system on the interobserver agreement in chest radiograph interpretation Hieu H. Pham H. Nguyen Hieu T. Nguyen Linh T. Le K. Lam 31 1 0 01 Apr 2023
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices Dat Ngo Thao T. B. Nguyen Hieu T. Nguyen D. Nguyen H. Nguyen Hieu H. Pham OOD 30 2 0 05 Aug 2022
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 283 10,613 0 19 Feb 2017